InferenceExecutionSummary (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.lookoutequipment.model.InferenceExecutionSummary

All Implemented Interfaces:

StructuredPojo, Serializable, Cloneable
```
@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class InferenceExecutionSummary
extends Object
implements Serializable, Cloneable, StructuredPojo
```
Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.

See Also:

AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

InferenceExecutionSummary()

Constructors
Constructor and Description
`InferenceExecutionSummary()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`InferenceExecutionSummary`	`clone()`
`boolean`	`equals(Object obj)`
`S3Object`	`getCustomerResultObject()` The S3 object that the inference execution results were uploaded to.
`Date`	`getDataEndTime()` Indicates the time reference in the dataset at which the inference execution stopped.
`InferenceInputConfiguration`	`getDataInputConfiguration()` Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
`InferenceOutputConfiguration`	`getDataOutputConfiguration()` Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
`Date`	`getDataStartTime()` Indicates the time reference in the dataset at which the inference execution began.
`String`	`getFailedReason()` Specifies the reason for failure when an inference execution has failed.
`String`	`getInferenceSchedulerArn()` The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
`String`	`getInferenceSchedulerName()` The name of the inference scheduler being used for the inference execution.
`String`	`getModelArn()` The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
`String`	`getModelName()` The name of the machine learning model being used for the inference execution.
`Long`	`getModelVersion()` The model version used for the inference execution.
`String`	`getModelVersionArn()` The Amazon Resource Number (ARN) of the model version used for the inference execution.
`Date`	`getScheduledStartTime()` Indicates the start time at which the inference scheduler began the specific inference execution.
`String`	`getStatus()` Indicates the status of the inference execution.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setCustomerResultObject(S3Object customerResultObject)` The S3 object that the inference execution results were uploaded to.
`void`	`setDataEndTime(Date dataEndTime)` Indicates the time reference in the dataset at which the inference execution stopped.
`void`	`setDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)` Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
`void`	`setDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)` Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
`void`	`setDataStartTime(Date dataStartTime)` Indicates the time reference in the dataset at which the inference execution began.
`void`	`setFailedReason(String failedReason)` Specifies the reason for failure when an inference execution has failed.
`void`	`setInferenceSchedulerArn(String inferenceSchedulerArn)` The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
`void`	`setInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler being used for the inference execution.
`void`	`setModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
`void`	`setModelName(String modelName)` The name of the machine learning model being used for the inference execution.
`void`	`setModelVersion(Long modelVersion)` The model version used for the inference execution.
`void`	`setModelVersionArn(String modelVersionArn)` The Amazon Resource Number (ARN) of the model version used for the inference execution.
`void`	`setScheduledStartTime(Date scheduledStartTime)` Indicates the start time at which the inference scheduler began the specific inference execution.
`void`	`setStatus(String status)` Indicates the status of the inference execution.
`String`	`toString()` Returns a string representation of this object.
`InferenceExecutionSummary`	`withCustomerResultObject(S3Object customerResultObject)` The S3 object that the inference execution results were uploaded to.
`InferenceExecutionSummary`	`withDataEndTime(Date dataEndTime)` Indicates the time reference in the dataset at which the inference execution stopped.
`InferenceExecutionSummary`	`withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)` Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
`InferenceExecutionSummary`	`withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)` Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
`InferenceExecutionSummary`	`withDataStartTime(Date dataStartTime)` Indicates the time reference in the dataset at which the inference execution began.
`InferenceExecutionSummary`	`withFailedReason(String failedReason)` Specifies the reason for failure when an inference execution has failed.
`InferenceExecutionSummary`	`withInferenceSchedulerArn(String inferenceSchedulerArn)` The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
`InferenceExecutionSummary`	`withInferenceSchedulerName(String inferenceSchedulerName)` The name of the inference scheduler being used for the inference execution.
`InferenceExecutionSummary`	`withModelArn(String modelArn)` The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
`InferenceExecutionSummary`	`withModelName(String modelName)` The name of the machine learning model being used for the inference execution.
`InferenceExecutionSummary`	`withModelVersion(Long modelVersion)` The model version used for the inference execution.
`InferenceExecutionSummary`	`withModelVersionArn(String modelVersionArn)` The Amazon Resource Number (ARN) of the model version used for the inference execution.
`InferenceExecutionSummary`	`withScheduledStartTime(Date scheduledStartTime)` Indicates the start time at which the inference scheduler began the specific inference execution.
`InferenceExecutionSummary`	`withStatus(InferenceExecutionStatus status)` Indicates the status of the inference execution.
`InferenceExecutionSummary`	`withStatus(String status)` Indicates the status of the inference execution.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - InferenceExecutionSummary
```
public InferenceExecutionSummary()
```
- Method Detail
  - setModelName
```
public void setModelName(String modelName)
```
    The name of the machine learning model being used for the inference execution.
    
    Parameters:
    
    modelName - The name of the machine learning model being used for the inference execution.
  - getModelName
```
public String getModelName()
```
    The name of the machine learning model being used for the inference execution.
    
    Returns:
    
    The name of the machine learning model being used for the inference execution.
  - withModelName
```
public InferenceExecutionSummary withModelName(String modelName)
```
    The name of the machine learning model being used for the inference execution.
    
    Parameters:
    
    modelName - The name of the machine learning model being used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelArn
```
public void setModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
  - getModelArn
```
public String getModelArn()
```
    The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
  - withModelArn
```
public InferenceExecutionSummary withModelArn(String modelArn)
```
    The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
    
    Parameters:
    
    modelArn - The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInferenceSchedulerName
```
public void setInferenceSchedulerName(String inferenceSchedulerName)
```
    The name of the inference scheduler being used for the inference execution.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler being used for the inference execution.
  - getInferenceSchedulerName
```
public String getInferenceSchedulerName()
```
    The name of the inference scheduler being used for the inference execution.
    
    Returns:
    
    The name of the inference scheduler being used for the inference execution.
  - withInferenceSchedulerName
```
public InferenceExecutionSummary withInferenceSchedulerName(String inferenceSchedulerName)
```
    The name of the inference scheduler being used for the inference execution.
    
    Parameters:
    
    inferenceSchedulerName - The name of the inference scheduler being used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setInferenceSchedulerArn
```
public void setInferenceSchedulerArn(String inferenceSchedulerArn)
```
    The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
  - getInferenceSchedulerArn
```
public String getInferenceSchedulerArn()
```
    The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
    
    Returns:
    
    The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
  - withInferenceSchedulerArn
```
public InferenceExecutionSummary withInferenceSchedulerArn(String inferenceSchedulerArn)
```
    The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
    
    Parameters:
    
    inferenceSchedulerArn - The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setScheduledStartTime
```
public void setScheduledStartTime(Date scheduledStartTime)
```
    Indicates the start time at which the inference scheduler began the specific inference execution.
    
    Parameters:
    
    scheduledStartTime - Indicates the start time at which the inference scheduler began the specific inference execution.
  - getScheduledStartTime
```
public Date getScheduledStartTime()
```
    Indicates the start time at which the inference scheduler began the specific inference execution.
    
    Returns:
    
    Indicates the start time at which the inference scheduler began the specific inference execution.
  - withScheduledStartTime
```
public InferenceExecutionSummary withScheduledStartTime(Date scheduledStartTime)
```
    Indicates the start time at which the inference scheduler began the specific inference execution.
    
    Parameters:
    
    scheduledStartTime - Indicates the start time at which the inference scheduler began the specific inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataStartTime
```
public void setDataStartTime(Date dataStartTime)
```
    Indicates the time reference in the dataset at which the inference execution began.
    
    Parameters:
    
    dataStartTime - Indicates the time reference in the dataset at which the inference execution began.
  - getDataStartTime
```
public Date getDataStartTime()
```
    Indicates the time reference in the dataset at which the inference execution began.
    
    Returns:
    
    Indicates the time reference in the dataset at which the inference execution began.
  - withDataStartTime
```
public InferenceExecutionSummary withDataStartTime(Date dataStartTime)
```
    Indicates the time reference in the dataset at which the inference execution began.
    
    Parameters:
    
    dataStartTime - Indicates the time reference in the dataset at which the inference execution began.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataEndTime
```
public void setDataEndTime(Date dataEndTime)
```
    Indicates the time reference in the dataset at which the inference execution stopped.
    
    Parameters:
    
    dataEndTime - Indicates the time reference in the dataset at which the inference execution stopped.
  - getDataEndTime
```
public Date getDataEndTime()
```
    Indicates the time reference in the dataset at which the inference execution stopped.
    
    Returns:
    
    Indicates the time reference in the dataset at which the inference execution stopped.
  - withDataEndTime
```
public InferenceExecutionSummary withDataEndTime(Date dataEndTime)
```
    Indicates the time reference in the dataset at which the inference execution stopped.
    
    Parameters:
    
    dataEndTime - Indicates the time reference in the dataset at which the inference execution stopped.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataInputConfiguration
```
public void setDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)
```
    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    
    Parameters:
    
    dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
  - getDataInputConfiguration
```
public InferenceInputConfiguration getDataInputConfiguration()
```
    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    
    Returns:
    
    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
  - withDataInputConfiguration
```
public InferenceExecutionSummary withDataInputConfiguration(InferenceInputConfiguration dataInputConfiguration)
```
    Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    
    Parameters:
    
    dataInputConfiguration - Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDataOutputConfiguration
```
public void setDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)
```
    Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
    
    Parameters:
    
    dataOutputConfiguration - Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
  - getDataOutputConfiguration
```
public InferenceOutputConfiguration getDataOutputConfiguration()
```
    Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
    
    Returns:
    
    Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
  - withDataOutputConfiguration
```
public InferenceExecutionSummary withDataOutputConfiguration(InferenceOutputConfiguration dataOutputConfiguration)
```
    Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
    
    Parameters:
    
    dataOutputConfiguration - Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setCustomerResultObject
```
public void setCustomerResultObject(S3Object customerResultObject)
```
    The S3 object that the inference execution results were uploaded to.
    
    Parameters:
    
    customerResultObject - The S3 object that the inference execution results were uploaded to.
  - getCustomerResultObject
```
public S3Object getCustomerResultObject()
```
    The S3 object that the inference execution results were uploaded to.
    
    Returns:
    
    The S3 object that the inference execution results were uploaded to.
  - withCustomerResultObject
```
public InferenceExecutionSummary withCustomerResultObject(S3Object customerResultObject)
```
    The S3 object that the inference execution results were uploaded to.
    
    Parameters:
    
    customerResultObject - The S3 object that the inference execution results were uploaded to.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setStatus
```
public void setStatus(String status)
```
    Indicates the status of the inference execution.
    
    Parameters:
    
    status - Indicates the status of the inference execution.
    
    See Also:
    
    InferenceExecutionStatus
  - getStatus
```
public String getStatus()
```
    Indicates the status of the inference execution.
    
    Returns:
    
    Indicates the status of the inference execution.
    
    See Also:
    
    InferenceExecutionStatus
  - withStatus
```
public InferenceExecutionSummary withStatus(String status)
```
    Indicates the status of the inference execution.
    
    Parameters:
    
    status - Indicates the status of the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExecutionStatus
  - withStatus
```
public InferenceExecutionSummary withStatus(InferenceExecutionStatus status)
```
    Indicates the status of the inference execution.
    
    Parameters:
    
    status - Indicates the status of the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    InferenceExecutionStatus
  - setFailedReason
```
public void setFailedReason(String failedReason)
```
    Specifies the reason for failure when an inference execution has failed.
    
    Parameters:
    
    failedReason - Specifies the reason for failure when an inference execution has failed.
  - getFailedReason
```
public String getFailedReason()
```
    Specifies the reason for failure when an inference execution has failed.
    
    Returns:
    
    Specifies the reason for failure when an inference execution has failed.
  - withFailedReason
```
public InferenceExecutionSummary withFailedReason(String failedReason)
```
    Specifies the reason for failure when an inference execution has failed.
    
    Parameters:
    
    failedReason - Specifies the reason for failure when an inference execution has failed.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelVersion
```
public void setModelVersion(Long modelVersion)
```
    The model version used for the inference execution.
    
    Parameters:
    
    modelVersion - The model version used for the inference execution.
  - getModelVersion
```
public Long getModelVersion()
```
    The model version used for the inference execution.
    
    Returns:
    
    The model version used for the inference execution.
  - withModelVersion
```
public InferenceExecutionSummary withModelVersion(Long modelVersion)
```
    The model version used for the inference execution.
    
    Parameters:
    
    modelVersion - The model version used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setModelVersionArn
```
public void setModelVersionArn(String modelVersionArn)
```
    The Amazon Resource Number (ARN) of the model version used for the inference execution.
    
    Parameters:
    
    modelVersionArn - The Amazon Resource Number (ARN) of the model version used for the inference execution.
  - getModelVersionArn
```
public String getModelVersionArn()
```
    The Amazon Resource Number (ARN) of the model version used for the inference execution.
    
    Returns:
    
    The Amazon Resource Number (ARN) of the model version used for the inference execution.
  - withModelVersionArn
```
public InferenceExecutionSummary withModelVersionArn(String modelVersionArn)
```
    The Amazon Resource Number (ARN) of the model version used for the inference execution.
    
    Parameters:
    
    modelVersionArn - The Amazon Resource Number (ARN) of the model version used for the inference execution.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public InferenceExecutionSummary clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

AWS SDK for Java 1.x API Reference - 1.12.779

Class InferenceExecutionSummary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

InferenceExecutionSummary

Method Detail

setModelName

getModelName

withModelName

setModelArn

getModelArn

withModelArn

setInferenceSchedulerName

getInferenceSchedulerName

withInferenceSchedulerName

setInferenceSchedulerArn

getInferenceSchedulerArn

withInferenceSchedulerArn

setScheduledStartTime

getScheduledStartTime

withScheduledStartTime

setDataStartTime

getDataStartTime

withDataStartTime

setDataEndTime

getDataEndTime

withDataEndTime

setDataInputConfiguration

getDataInputConfiguration

withDataInputConfiguration

setDataOutputConfiguration

getDataOutputConfiguration

withDataOutputConfiguration

setCustomerResultObject

getCustomerResultObject

withCustomerResultObject

setStatus

getStatus

withStatus

withStatus

setFailedReason

getFailedReason

withFailedReason

setModelVersion

getModelVersion

withModelVersion

setModelVersionArn

getModelVersionArn

withModelVersionArn

toString

equals

hashCode

clone

marshall